A New Anomaly Detection Indexbased Moving Window Interval PCA

Imen Hamrouni, K. Abdellafou, Hajer Lahdhiri, O. Taouali, Kais Bouzrara
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Abstract

In this paper, a new fault detection index is used in the algorithm of moving window interval CIPCA. This later treats the interval data by making on consideration the uncertainties, the proposed approach is compared with the existing faultdetection index and possesses the best performance.
一种新的基于移动窗间隔PCA的异常检测方法
本文在移动窗间隔CIPCA算法中引入了一种新的故障检测指标。在对区间数据进行处理时考虑了不确定性,与现有的故障检测指标进行了比较,结果表明该方法具有最佳的检测性能。
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